No abstract

Due to some nonlinear factors and time delay in electronic throttle, the opening of electronic throttle is difficult to control. For overcoming these difficulties, in this paper a fuzzy adaptive PID controller is designed for an electronic throttle control system. The model of electronic throttle control system is built based on Matlab/Simulink and realized with a hardware-in-the-loop simulation system, which is based on MACS565. Simulation research and experiment results show that, compared with PID control system, the fuzzy adaptive PID control system, has some advantages. The all performance index with the fuzzy adaptive PID control is better than that of the PID control.

In this paper, a state feedback control algorithm for non-holonomic robot to track a moving object is described. In order to generate continuous velocity profile, some independent time varying functions are introduced for calculation the state feedback variables. The simulation of the control algorithm is implemented with MATLAB. The results shows that, with the designed state feedback control algorithm, the wheeled mobile robot can track a moving object and the trajectory is also reasonable.

Based on the vibration information of engine and the physicochemical property information of oil of engine, the fuzzy comprehensive evaluation model of running status of engine is established. According to the evaluation model, the fuzzy comprehensive evaluation method is put forward. By the evaluation method, the evaluation of running status of engine is analyzed by an example. The results show that the fuzzy comprehensive evaluation method based on the information fusion of vibration of engine and physicochemical property of oil of engine is reliable and reasonable.

As a kind of new renewable energy, biogas is receiving more and more attentions. However, its combustion duration is longer than diesel, which causes the bigger thermal load of engine. A geometry model of a biogas engine’s piston is set up in Proe 4.0. The temperature fields, thermal stress and thermal deformation of the piston are calculated using ANSYS 10.0. The result shows that the thermal load of biogas engine is still within the thermal strength of the material, thus provides supporting evidence for the popularity of biogas.